Update app.py

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+from gradio.themes.base import Base
 from llama_index.core import VectorStoreIndex
 from llama_index.core import (
     StorageContext,
@@ -421,7 +422,7 @@ async def chat_with_agent(message, history):
         
 
 # Configuración de la interfaz Gradio
-with gr.Blocks(title="Herramientas MCP", theme=gr.themes.Base()) as tools_tab:
+with gr.Blocks(title="Herramientas MCP", theme=seafoam) as tools_tab:
     with gr.Accordion("Búsqueda Académica", open=False):
         arxiv_interface = gr.Interface(
             fn=search_arxiv,
@@ -484,7 +485,7 @@ with gr.Blocks(title="Herramientas MCP", theme=gr.themes.Base()) as tools_tab:
         )
 
 # Creamos el Agente MCP (puedes personalizar esto según necesites)
-with gr.Blocks(title="Agente MCP", theme=gr.themes.Base()) as agent_tab:
+with gr.Blocks(title="Agente MCP", theme=seafoam) as agent_tab:
     # Chat principal
     chatbot = gr.Chatbot(
         label="Chat con el Agente MCP",